Senior Trader, SeatGeek IQ

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SeatGeekTicketing and Sports

Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotelyFull-TimeSenior

Salary$112,000 - $162,000 USD

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Job Details

Experience: 5+ years
Required Skills: Business IntelligenceData AnalysisMentoringRelationship management

Bachelor's degree in business, economics, finance, statistics, sports management, or a related field, or equivalent professional experience
5+ years of experience in ticket pricing, revenue management, trading, or a comparable analytical commercial role
At least 2 years as the owner of client or partner relationships, preferably in sports, live entertainment, or another dynamic-pricing industry
Real sports knowledge regarding standings, schedules, rivalries, star players, and playoff races
Understanding of how touring, on-sales, and routing shape demand
Demonstrated experience being accountable for commercial partnerships under strain
Fluency with sell-through, price realization, ATP, GTV, and inventory aging
Experience in mentoring and setting standards for junior team members
Comfort in spreadsheets and BI tooling, including reading and questioning data
Proven track record of turning one-off analysis into reusable processes

Serve as senior owner on a set of our largest sports and entertainment partnerships, setting pricing strategy with each partner, defending it, and revising it as the market moves
Own the commercial health of those relationships, including renewal posture, escalations, and regular engagement with partner leadership
Set and move prices across the event lifecycle, from presale through day-of, against sell-through targets, price realization, and spoilage risk
Decide what inventory to hold, what to release, how to distribute it across channels, and when a position needs to be worked down rather than defended
Manage the ongoing partner relationship through weekly and event-level reporting, regular strategy check-ins, and candid conversations when the market disagrees with the plan
Mentor traders earlier in their careers and review their pricing work on high-stakes events
Answer partner research questions on marketplace behavior, demand drivers, and season or event projections, then turn one-off requests into repeatable outputs the whole team can run
Spot gaps in what we offer, such as services partners keep asking for, manual workflows that should be automated, or places AI tooling could sharpen a call, and lead pilots and builds of the solutions
Close the loop after events with analysis of what pricing decisions actually produced, and carry it into the next cycle

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